BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ISISLab - ECPv6.3.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.isislab.it
X-WR-CALDESC:Eventi per ISISLab
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Rome
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20230601T090000
DTEND;TZID=Europe/Rome:20230601T110000
DTSTAMP:20260915T155445
CREATED:20230531T092022Z
LAST-MODIFIED:20230531T092022Z
UID:13279-1685610000-1685617200@www.isislab.it
SUMMARY:Scalable Parallel Graph Algorithms - Prof. Sajal Das
DESCRIPTION:ABSTRACT: Many real-world networks (e.g.\, wireless mobile networks\, IoT and drone networks\, disaster response networks\, social and biological networks\, transportation networks) are modeled as dynamic graphs characterized by their evolving nature\, such as node/edge insertions and deletions\, and edge weight modifications. Managing dynamic graph updates in parallel poses unique challenges. In this talk\, we will design a framework for designing scalable parallel algorithms that aims to efficiently update graph properties in large scale dynamic networks instead of recomputing them from scratch. To demonstrate the efficacy of our framework\, we will present scalable parallel algorithms for updating simple graph properties\, such as single source shortest path\, minimum spanning tree\, vertex color\, and multi-objective shortest path. We will apply our approach to energy-optimized path planning in unmanned aerial vehicle (UAV)-based delivery system in presence of environment dynamics (changing wind speed and direction). Extensive experimental results will demonstrate the performance of our proposed algorithms on shared memory parallel machines and GPU architectures. \n\n\n\nBIORAPHY: Dr. Sajal K. Das is a Curators’ Distinguished Professor and Daniel St. Clair Endowed Chair in Computer Science at Missouri University of Science and Technology\, where he was the Chair of Computer Science Department during 2013-2017. In the past\, he served the US National Science Foundation (NSF) as a Program Director in the Computer and Network Systems Division. \n\n\n\nDr. Das’ interdisciplinary research spans cyber-physical systems\, IoT\, cybersecurity\, data science\, machine learning\, wireless and sensor networks\, mobile and pervasive computing\, smart environments\, parallel computing\, edge/cloud computing\, social and biological networks\, graph theory and game theory. He has contributed significantly to these areas and published extensively (more than 350 journal articles and more than 450 peer-reviewed conference papers)\, coauthored four books\, and 5 US patents. He directed over $20 million funded projects. His h-index is 99 with 39\,000+ citations according to Google Scholar. \n\n\n\nDr. Das is the founding Editor-in-Chief of Elsevier’s Pervasive and Mobile Computing journal and serves as an Associate Editor of the IEEE Transactions on Mobile Computing\, IEEE Transactions on Dependable and Secure Computing\, IEEE/ACM transactions on Networking\, ACM Transactions on Sensor Networks\, Journal of Parallel and Distributed Computing. A (co)-founder of IEEE PerCom\, WoWMoM\, SMARTCOMP and ACM ICDCN conferences\, he has served as General and Program Chair of reputed conferences. He is a recipient of 12 Best Paper Awards in prestigious conferences including ACM MobiCom and IEEE PerCom; and numerous awards for teaching\, mentoring and research including the IEEE Computer Society’s Technical Achievement award for pioneering contributions to sensor networks and mobile computing\, and the University of Missouri System President’s Award for Sustained Career Excellence. Dr. Das has mentored 12 postdoctoral fellows\, 50 Ph.D. scholars\, 31 MS thesis\, and numerous undergraduate research students. He is a Distinguished alumnus of the Indian Institute of Science at Bangalore\, and an IEEE Fellow.
URL:https://www.isislab.it/event/scalable-parallel-graph-algorithms-prof-sajal-das/
ATTACH;FMTTYPE=image/png:https://www.isislab.it/wp-content/uploads/2023/05/SeminarioISISLab-01-06-2023.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20230609T160000
DTEND;TZID=Europe/Rome:20230609T170000
DTSTAMP:20260915T155445
CREATED:20230608T071645Z
LAST-MODIFIED:20230608T071645Z
UID:13285-1686326400-1686330000@www.isislab.it
SUMMARY:Integrazione di dati GIS in krABMaga  di Christian Mascolo
DESCRIPTION:Abstract: Studio inerente al Geographic information System(GIS)\, un sistema che integra operazioni DBMS ad operazioni cartografiche\, mediante l'utilizzo di sistemi di disegno computerizzato\, permettendo l'analisi completa di un'entità geografica. Verrà analizzato un plugin sviluppato in Rust\, con analisi di alcune problematiche\, e la sua potenziale integrazione con l'engine krABMaga
URL:https://www.isislab.it/event/integrazione-di-dati-gis-in-krabmaga-di-christian-mascolo/
ATTACH;FMTTYPE=image/png:https://www.isislab.it/wp-content/uploads/2023/06/SeminarioISISLab-9-06-2023.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20230616T160000
DTEND;TZID=Europe/Rome:20230616T170000
DTSTAMP:20260915T155445
CREATED:20230614T145706Z
LAST-MODIFIED:20230614T145707Z
UID:13292-1686931200-1686934800@www.isislab.it
SUMMARY:Seminario:"Towards a SYCL API for Approximate Computing" di Lorenzo Carpentieri
DESCRIPTION:Abstract:Approximate computing exploits the gap between the accuracy provided by a system and the accuracy required by an application. Many applications such as image processing and neural networks\, are tolerant of a certain amount of error\, and have the potential for significant improvements in terms of execution time and energy consumption if a small amount of error can be accepted. The most advanced software approximation techniques are mixed precision\, which uses a lower precision data representation for both integer and floating point variables; perforation\, which exploits data locality by skipping some iterations and assuming that nearby data have similar values; and relaxed synchronization.In this talk\, we present SYprox\, a SYCL-based API supporting a broad set of approximation techniques in modern C++.SYprox introduces a set of semantics that extend SYCL’s buffers and accessors to provide a high-level easy-to-use programming API.SYprox’s approximation framework seamlessly adds three additional stages to standard computational processing implementing perforation\, input reconstruction and output reconstruction. It supports data perforation and elision patterns for efficient approximation\, as well as signal reconstruction algorithms for error mitigation.Finally\, we present our preliminary results\, showing improvements in terms of performance and accuracy over to state-of-the-art approaches\, while maintaining at the same time a high-level programming approach.
URL:https://www.isislab.it/event/seminariotowards-a-sycl-api-for-approximate-computing-di-lorenzo-carpentieri/
ATTACH;FMTTYPE=image/png:https://www.isislab.it/wp-content/uploads/2023/06/SeminarioISISLab-16-06-2023.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20230623T160000
DTEND;TZID=Europe/Rome:20230623T170000
DTSTAMP:20260915T155445
CREATED:20230623T113744Z
LAST-MODIFIED:20230623T113745Z
UID:13661-1687536000-1687539600@www.isislab.it
SUMMARY:I processi ETL e la loro applicazione di Simone Civale
DESCRIPTION:Abstract: Il seminario tratta del lavoro di tirocinio da me svolto presso l’azienda EMM. Nel seminario sianalizzano i processi ETL con la loro definizione e i vari tool che permettono di realizzare i processiETL. Il seminario\, inoltre\, chiarisce il motivo per cui è stato scelto il tool Talend. Infine\, vieneesposto come si passa da Talend al microservizio e vengono definiti i microservizi stessi. L’ultimoargomento affronta JUnit e Docker.
URL:https://www.isislab.it/event/i-processi-etl-e-la-loro-applicazione-di-simone-civale/
CATEGORIES:Seminari
ATTACH;FMTTYPE=image/jpeg:https://www.isislab.it/wp-content/uploads/2023/06/ISISLab_23-06-2023.jpg
END:VEVENT
END:VCALENDAR